Google BigQuery, every mention
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every year anyone Kazuki Ohta 3Amjad Masad 2Sarah Kennedy 1Rachel Wolan 1Marc Benioff 1Jordan Tigani 1Elena Verna 1Eleanor Dorfman 1
Verbatim, from the transcripts: the passages where Google BigQuery comes up
What Agents That Actually Work Look Like Right Now with Replit's CEO and Founder
- ▶ 11:33 Amjad Masad But because data at Replit is so big right now, we have terabytes of data across, you know, across BigQuery and Databricks and, and all the other things, and all the schemas are different, and so we created this repo that has all the… 2 times in the scene
Feature Differentiation Is Dead. Here's What Actually Wins Now with Lovable's Elena Verna
- ▶ 12:36 Elena Verna So we use the word connectors in our product and you can connect it to BigQuery or Notion or Slack or wherever your data source is actually coming from, which is what makes it so much more powerful because it's live and it's living,…
How Anthropic's Head of Industries Built an AI-Native Sales Org from Scratch
- ▶ 3:25 Eleanor Dorfman We have BigQuery.
AI, M&A, and the Future of SaaS: Lessons from Marc Benioff, Salesforce CEO, Co-Founder and Chair
- ▶ 36:17 Marc Benioff So whether it's Databricks or Snowflake, whether it's Shopify, whether it's BigQuery, whether it's
The Secrets Inside Google Cloud’s Growth with Sarah Kennedy, Vice President Google Cloud Marketing
- ▶ 16:02 Sarah Kennedy The superpowers of Google's infrastructure, even being able to train custom models and using BigQuery for that, and that be your storage layer of your cloud ecosystem.
The Where, When, and How of AI with Theory Ventures, Open AI, MotherDuck and Lamini
- ▶ 0:35 Jordan Tigani I helped create Google BigQuery, led them for, led that for almost 10, or as part of it for almost 10 years, uh, before, uh, before starting, starting Mother Duck about a year ago.
$100 Million ARR Pivot: From Platform Product to Vertical Apps With Treasure Data CEO Kazuki Ohta
- ▶ 14:04 Kazuki Ohta And the Google released a new product called BigQuery, which is the cloud-based data processing engine.
- ▶ 40:24 Kazuki Ohta So what we have done is we built some connectors such as Redshift connector or BigQuery connector so that you can still keep using treasure data. 2 times in the scene
Beyond Product-led Growth: 7 Lessons Learned in Product-Led Scaling with Dropbox GM Rachel Wolan
- ▶ 14:57 Rachel Wolan Data scientists were able to use the tools they were already used to, like GCP and BigQuery.